Databricks Genie AI Engineer / Semantic Layer Engineer
About the Role
In This Role, You Will
· Design and curate the semantic layer that Databricks Genie relies on: table/column descriptions, synonyms, certified/trusted assets, sample questions, and metric definitions.
- Build and maintain Genie Spaces, iterating on data room composition and instructions to improve response accuracy and relevance.
- Define and maintain metric views and business logic so natural language queries map correctly to governed KPIs.
- Develop evaluation frameworks to test Genie's query accuracy, SQL generation quality, and response correctness against ground-truth business questions.
- Build regression test suites so changes to data models or Genie configuration don't silently degrade answer quality.
- Analyze failure modes (ambiguous questions, join errors, misinterpreted metrics) and iterate on fixes — via schema improvements, better metadata, or prompt/instruction tuning
- Work with data engineers to ensure upstream data quality and modeling decisions support reliable AI/BI outputs.
- Exposure to LLM-based or generative AI systems, prompt evaluation, or RAG architectures.
- Partner with the DevOps/Platform team on deployment, versioning, and monitoring of Genie Spaces and any custom AI services (CI/CD, Unity Catalog governance, observability).
- Translate business stakeholder feedback on AI/BI outputs into concrete improvements to data models, prompts, or configurations.
- Strong scripting/programming skills in Python and/or Scala; comfortable with SQL.
- Working knowledge of at least one major cloud provider (AWS, Azure, or GCP).
- Experience with semantic modeling or metric layers (dbt, LookML, or Databricks Metric Views).
- Background in BI tools (Power BI, Tableau, Looker) and how they integrate with Databricks SQL.
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What You Need to Have to Be Considered
·
- Experience working with Databricks, including Databricks SQL, Unity Catalog, and Genie or comparable AI-powered analytics capabilities.
- Strong proficiency in SQL and programming languages such as Python and/or Scala.
- Experience designing and managing semantic models, metric layers, or business-friendly data abstractions.
- Knowledge of data warehousing, dimensional modeling, and analytics best practices.
- Experience developing testing and validation frameworks for analytics, reporting, or AI-driven solutions.
- Understanding of large language models (LLMs), generative AI applications, prompt engineering, retrieval-augmented generation (RAG), or related AI technologies.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Strong analytical, problem-solving, and stakeholder management skills.
- Ability to work effectively across cross-functional teams in a fast-paced environment.
Salary and Other Compensation:
Applications will be accepted until November 20, 2026.
The annual salary for this position is between $88,000 - $132,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
